Overview

Brought to you by YData

Dataset statistics

Number of variables	26
Number of observations	2420
Missing cells	14554
Missing cells (%)	23.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.0 MiB
Average record size in memory	849.6 B

Variable types

Text	2
DateTime	1
Categorical	14
Numeric	7
Unsupported	2

Alerts

`cant_antecedentes` has constant value "1.0"	Constant
`cant_MontoLimite` has constant value "1.0"	Constant
`Cluster_6` has constant value "5"	Constant
`Estado` is highly overall correlated with `cant_noAutenticado`	High correlation
`TipoSocietario` is highly overall correlated with `cant_noAutenticado`	High correlation
`anio_preinscripcion` is highly overall correlated with `antiguedad` and 1 other fields	High correlation
`antiguedad` is highly overall correlated with `anio_preinscripcion` and 1 other fields	High correlation
`cant_Apoderado` is highly overall correlated with `cant_autenticado` and 3 other fields	High correlation
`cant_autenticado` is highly overall correlated with `cant_Apoderado` and 2 other fields	High correlation
`cant_noAutenticado` is highly overall correlated with `Estado` and 5 other fields	High correlation
`cant_procesos_adjudicado` is highly overall correlated with `monto_total_adjudicado`	High correlation
`cant_representante` is highly overall correlated with `cant_Apoderado` and 3 other fields	High correlation
`cant_sinMontoLimite` is highly overall correlated with `cant_Apoderado` and 4 other fields	High correlation
`dtotal_articulos_provee` is highly overall correlated with `total_articulos_provee`	High correlation
`monto_total_adjudicado` is highly overall correlated with `cant_procesos_adjudicado` and 2 other fields	High correlation
`periodo_preinscripcion` is highly overall correlated with `anio_preinscripcion` and 1 other fields	High correlation
`total_articulos_provee` is highly overall correlated with `dtotal_articulos_provee`	High correlation
`Estado` is highly imbalanced (60.0%)	Imbalance
`cant_Apoderado` is highly imbalanced (74.2%)	Imbalance
`cant_representante` is highly imbalanced (97.8%)	Imbalance
`cant_autenticado` is highly imbalanced (93.8%)	Imbalance
`cant_sinMontoLimite` is highly imbalanced (92.1%)	Imbalance
`cant_socios` has 50 (2.1%) missing values	Missing
`cant_apercibimientos` has 2420 (100.0%) missing values	Missing
`cant_suspensiones` has 2420 (100.0%) missing values	Missing
`cant_antecedentes` has 2419 (> 99.9%) missing values	Missing
`cant_Apoderado` has 2043 (84.4%) missing values	Missing
`cant_representante` has 357 (14.8%) missing values	Missing
`cant_noAutenticado` has 2397 (99.0%) missing values	Missing
`cant_MontoLimite` has 2418 (99.9%) missing values	Missing
`CUIT` has unique values	Unique
`Nombre` has unique values	Unique
`cant_apercibimientos` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`cant_suspensiones` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`antiguedad` has 260 (10.7%) zeros	Zeros

Reproduction

Analysis started	2025-06-30 18:10:27.711133
Analysis finished	2025-06-30 18:10:33.977440
Duration	6.27 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

CUIT
Text

Unique

Distinct	2420
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	179.5 KiB

Length

Max length	18
Median length	11
Mean length	10.971074
Min length	9

Characters and Unicode

Total characters	26550
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2420 ?
Unique (%)	100.0%

Sample

1st row	33712286089
2nd row	30583184305
3rd row	30521417311
4th row	30644877805
5th row	30708516852

Value	Count	Frequency (%)
30623373084	1	< 0.1%
30710308051	1	< 0.1%
33712286089	1	< 0.1%
30583184305	1	< 0.1%
30521417311	1	< 0.1%
30644877805	1	< 0.1%
30708516852	1	< 0.1%
30714005789	1	< 0.1%
30714749206	1	< 0.1%
30708085207	1	< 0.1%
Other values (2410)	2410	99.6%

Most occurring characters

Value	Count	Frequency (%)
0	4512	17.0%
3	4174	15.7%
7	3226	12.2%
1	2857	10.8%
6	2199	8.3%
5	2147	8.1%
9	2032	7.7%
4	1821	6.9%
8	1771	6.7%
2	1718	6.5%
Other values (22)	93	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	26550	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	4512	17.0%
3	4174	15.7%
7	3226	12.2%
1	2857	10.8%
6	2199	8.3%
5	2147	8.1%
9	2032	7.7%
4	1821	6.9%
8	1771	6.7%
2	1718	6.5%
Other values (22)	93	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	26550	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	4512	17.0%
3	4174	15.7%
7	3226	12.2%
1	2857	10.8%
6	2199	8.3%
5	2147	8.1%
9	2032	7.7%
4	1821	6.9%
8	1771	6.7%
2	1718	6.5%
Other values (22)	93	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	26550	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	4512	17.0%
3	4174	15.7%
7	3226	12.2%
1	2857	10.8%
6	2199	8.3%
5	2147	8.1%
9	2032	7.7%
4	1821	6.9%
8	1771	6.7%
2	1718	6.5%
Other values (22)	93	0.4%

Nombre
Text

Unique

Distinct	2420
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	215.4 KiB

Length

Max length	135
Median length	82
Mean length	22.117355
Min length	3

Characters and Unicode

Total characters	53524
Distinct characters	94
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2420 ?
Unique (%)	100.0%

Sample

1st row	COMPAÑÍA DE HIGIENE
2nd row	MATAFUEGOS ORLANDO S.R.L.
3rd row	CONFECCIONES JOSE CONTARTESE Y CIA S.R.L.
4th row	LA BLUSERI S.A.
5th row	COOPERATIVA DE TRABAJO ARCANGEL LIMITADA

Value	Count	Frequency (%)
s.a	629	7.7%
srl	585	7.1%
de	344	4.2%
s.r.l	342	4.2%
sa	284	3.5%
y	155	1.9%
cooperativa	101	1.2%
trabajo	94	1.1%
argentina	87	1.1%
la	70	0.9%
Other values (3430)	5528	67.3%

Most occurring characters

Value	Count	Frequency (%)
	5799	10.8%
A	4338	8.1%
S	3826	7.1%
R	2919	5.5%
E	2607	4.9%
.	2570	4.8%
I	2551	4.8%
O	2295	4.3%
L	2243	4.2%
N	1738	3.2%
Other values (84)	22638	42.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	53524	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	5799	10.8%
A	4338	8.1%
S	3826	7.1%
R	2919	5.5%
E	2607	4.9%
.	2570	4.8%
I	2551	4.8%
O	2295	4.3%
L	2243	4.2%
N	1738	3.2%
Other values (84)	22638	42.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	53524	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	5799	10.8%
A	4338	8.1%
S	3826	7.1%
R	2919	5.5%
E	2607	4.9%
.	2570	4.8%
I	2551	4.8%
O	2295	4.3%
L	2243	4.2%
N	1738	3.2%
Other values (84)	22638	42.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	53524	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	5799	10.8%
A	4338	8.1%
S	3826	7.1%
R	2919	5.5%
E	2607	4.9%
.	2570	4.8%
I	2551	4.8%
O	2295	4.3%
L	2243	4.2%
N	1738	3.2%
Other values (84)	22638	42.3%

FechaPreinscripcion
Date

Distinct	1018
Distinct (%)	42.1%
Missing	0
Missing (%)	0.0%
Memory size	37.8 KiB

Minimum	2016-01-09 00:00:00
Maximum	2022-12-08 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Estado
Categorical

High correlation Imbalance

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	183.5 KiB

Inscripto	1898
Desactualizado doc. vencidos	243
Pre Inscripto	196
Desactualizado mantención	44
Desactualizado Por Clase	24
Other values (2)	15

Length

Max length	28
Median length	9
Mean length	11.719421
Min length	9

Characters and Unicode

Total characters	28361
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Inscripto
2nd row	Desactualizado doc. vencidos
3rd row	Inscripto
4th row	Inscripto
5th row	Inscripto

Common Values

Value	Count	Frequency (%)
Inscripto	1898	78.4%
Desactualizado doc. vencidos	243	10.0%
Pre Inscripto	196	8.1%
Desactualizado mantención	44	1.8%
Desactualizado Por Clase	24	1.0%
En Evaluacion	8	0.3%
Con Solicitud De Baja	7	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
inscripto	2094	65.0%
desactualizado	311	9.6%
doc	243	7.5%
vencidos	243	7.5%
pre	196	6.1%
mantención	44	1.4%
por	24	0.7%
clase	24	0.7%
en	8	0.2%
evaluacion	8	0.2%
Other values (4)	28	0.9%

Most occurring characters

Value	Count	Frequency (%)
c	2950	10.4%
o	2937	10.4%
i	2714	9.6%
s	2672	9.4%
n	2492	8.8%
t	2456	8.7%
r	2314	8.2%
I	2094	7.4%
p	2094	7.4%
a	1031	3.6%
Other values (17)	4607	16.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	28361	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
c	2950	10.4%
o	2937	10.4%
i	2714	9.6%
s	2672	9.4%
n	2492	8.8%
t	2456	8.7%
r	2314	8.2%
I	2094	7.4%
p	2094	7.4%
a	1031	3.6%
Other values (17)	4607	16.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	28361	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
c	2950	10.4%
o	2937	10.4%
i	2714	9.6%
s	2672	9.4%
n	2492	8.8%
t	2456	8.7%
r	2314	8.2%
I	2094	7.4%
p	2094	7.4%
a	1031	3.6%
Other values (17)	4607	16.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	28361	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
c	2950	10.4%
o	2937	10.4%
i	2714	9.6%
s	2672	9.4%
n	2492	8.8%
t	2456	8.7%
r	2314	8.2%
I	2094	7.4%
p	2094	7.4%
a	1031	3.6%
Other values (17)	4607	16.2%

TipoSocietario
Categorical

High correlation

Distinct	9
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	224.7 KiB

Sociedad Anónima	999
S.R.L	962
Otras Formas Societarias	146
Cooperativas	111
PJ Extranjero Sin Sucursal	103
Other values (4)	99

Length

Max length	29
Median length	26
Mean length	12.471074
Min length	5

Characters and Unicode

Total characters	30180
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S.R.L
2nd row	S.R.L
3rd row	S.R.L
4th row	Sociedad Anónima
5th row	Cooperativas

Common Values

Value	Count	Frequency (%)
Sociedad Anónima	999	41.3%
S.R.L	962	39.8%
Otras Formas Societarias	146	6.0%
Cooperativas	111	4.6%
PJ Extranjero Sin Sucursal	103	4.3%
Organismo Publico	47	1.9%
Sociedades De Hecho	39	1.6%
Unión Transitoria de Empresas	10	0.4%
Persona Física	3	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sociedad	999	23.9%
anónima	999	23.9%
s.r.l	962	23.0%
otras	146	3.5%
formas	146	3.5%
societarias	146	3.5%
cooperativas	111	2.7%
pj	103	2.5%
extranjero	103	2.5%
sin	103	2.5%
Other values (11)	360	8.6%

Most occurring characters

Value	Count	Frequency (%)
a	3132	10.4%
i	2670	8.8%
S	2352	7.8%
n	2284	7.6%
d	2086	6.9%
.	1924	6.4%
o	1801	6.0%
	1758	5.8%
e	1538	5.1%
c	1376	4.6%
Other values (28)	9259	30.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	30180	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	3132	10.4%
i	2670	8.8%
S	2352	7.8%
n	2284	7.6%
d	2086	6.9%
.	1924	6.4%
o	1801	6.0%
	1758	5.8%
e	1538	5.1%
c	1376	4.6%
Other values (28)	9259	30.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	30180	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	3132	10.4%
i	2670	8.8%
S	2352	7.8%
n	2284	7.6%
d	2086	6.9%
.	1924	6.4%
o	1801	6.0%
	1758	5.8%
e	1538	5.1%
c	1376	4.6%
Other values (28)	9259	30.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	30180	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	3132	10.4%
i	2670	8.8%
S	2352	7.8%
n	2284	7.6%
d	2086	6.9%
.	1924	6.4%
o	1801	6.0%
	1758	5.8%
e	1538	5.1%
c	1376	4.6%
Other values (28)	9259	30.7%

periodo_preinscripcion
Real number (ℝ)

High correlation

Distinct	77
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	201792.43

Minimum	201607
Maximum	202211
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.8 KiB

Quantile statistics

Minimum	201607
5-th percentile	201610
Q1	201702
median	201709
Q3	201904
95-th percentile	202110
Maximum	202211
Range	604
Interquartile range (IQR)	202

Descriptive statistics

Standard deviation	162.63707
Coefficient of variation (CV)	0.00080596219
Kurtosis	-0.0034933334
Mean	201792.43
Median Absolute Deviation (MAD)	97
Skewness	0.97973166
Sum	4.8833769 × 10⁸
Variance	26450.817
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
201611	199	8.2%
201701	124	5.1%
201703	101	4.2%
201612	97	4.0%
201706	94	3.9%
201708	87	3.6%
201704	83	3.4%
201702	82	3.4%
201705	79	3.3%
201707	78	3.2%
Other values (67)	1396	57.7%

Value	Count	Frequency (%)
201607	4	0.2%
201608	32	1.3%
201609	31	1.3%
201610	69	2.9%
201611	199	8.2%
201612	97	4.0%
201701	124	5.1%
201702	82	3.4%
201703	101	4.2%
201704	83	3.4%

Value	Count	Frequency (%)
202211	3	0.1%
202210	3	0.1%
202209	9	0.4%
202208	7	0.3%
202207	9	0.4%
202206	7	0.3%
202205	10	0.4%
202204	10	0.4%
202203	10	0.4%
202202	9	0.4%

anio_preinscripcion
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2017.857

Minimum	2016
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.8 KiB

Quantile statistics

Minimum	2016
5-th percentile	2016
Q1	2017
median	2017
Q3	2019
95-th percentile	2021
Maximum	2022
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.6329759
Coefficient of variation (CV)	0.00080926246
Kurtosis	-0.015877
Mean	2017.857
Median Absolute Deviation (MAD)	1
Skewness	0.95810061
Sum	4883214
Variance	2.6666104
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2017	925	38.2%
2016	432	17.9%
2018	398	16.4%
2019	229	9.5%
2021	178	7.4%
2020	176	7.3%
2022	82	3.4%

Value	Count	Frequency (%)
2016	432	17.9%
2017	925	38.2%
2018	398	16.4%
2019	229	9.5%
2020	176	7.3%
2021	178	7.4%
2022	82	3.4%

Value	Count	Frequency (%)
2022	82	3.4%
2021	178	7.4%
2020	176	7.3%
2019	229	9.5%
2018	398	16.4%
2017	925	38.2%
2016	432	17.9%

cant_procesos_adjudicado
Real number (ℝ)

High correlation

Distinct	77
Distinct (%)	3.2%
Missing	10
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	6.459751

Minimum	1
Maximum	149
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	6
95-th percentile	27
Maximum	149
Range	148
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	12.163385
Coefficient of variation (CV)	1.8829496
Kurtosis	31.528492
Mean	6.459751
Median Absolute Deviation (MAD)	1
Skewness	4.7761773
Sum	15568
Variance	147.94794
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	873	36.1%
2	429	17.7%
3	228	9.4%
4	153	6.3%
5	94	3.9%
6	88	3.6%
7	52	2.1%
9	51	2.1%
8	42	1.7%
10	38	1.6%
Other values (67)	362	15.0%

Value	Count	Frequency (%)
1	873	36.1%
2	429	17.7%
3	228	9.4%
4	153	6.3%
5	94	3.9%
6	88	3.6%
7	52	2.1%
8	42	1.7%
9	51	2.1%
10	38	1.6%

Value	Count	Frequency (%)
149	1	< 0.1%
135	1	< 0.1%
122	1	< 0.1%
119	1	< 0.1%
99	1	< 0.1%
98	1	< 0.1%
87	1	< 0.1%
86	3	0.1%
81	1	< 0.1%
80	1	< 0.1%

monto_total_adjudicado
Real number (ℝ)

High correlation

Distinct	2379
Distinct (%)	98.7%
Missing	10
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	1.1475416 × 10⁸

Minimum	0
Maximum	7.6758617 × 10⁹
Zeros	24
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	37.8 KiB

Quantile statistics

Minimum	0
5-th percentile	29205.3
Q1	804735.36
median	4947927.3
Q3	28387727
95-th percentile	3.3052073 × 10⁸
Maximum	7.6758617 × 10⁹
Range	7.6758617 × 10⁹
Interquartile range (IQR)	27582992

Descriptive statistics

Standard deviation	5.2634231 × 10⁸
Coefficient of variation (CV)	4.586695
Kurtosis	72.411374
Mean	1.1475416 × 10⁸
Median Absolute Deviation (MAD)	4837142.3
Skewness	7.7658383
Sum	2.7655751 × 10¹¹
Variance	2.7703622 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	24	1.0%
58802999.64	2	0.1%
612000	2	0.1%
637500	2	0.1%
30600000	2	0.1%
534820	2	0.1%
40000	2	0.1%
33686842.11	2	0.1%
254100	2	0.1%
59014285.71	1	< 0.1%
Other values (2369)	2369	97.9%
(Missing)	10	0.4%

Value	Count	Frequency (%)
0	24	1.0%
0.023181818	1	< 0.1%
4.25	1	< 0.1%
9.471428571	1	< 0.1%
30.6	1	< 0.1%
59.49779221	1	< 0.1%
70.08857143	1	< 0.1%
102	1	< 0.1%
143.65	1	< 0.1%
680	1	< 0.1%

Value	Count	Frequency (%)
7675861678	1	< 0.1%
6782343325	1	< 0.1%
6458785714	1	< 0.1%
6020777934	1	< 0.1%
5323342711	1	< 0.1%
5137870354	1	< 0.1%
5092092510	1	< 0.1%
4848542284	1	< 0.1%
4746364182	1	< 0.1%
4463290979	1	< 0.1%

antiguedad
Real number (ℝ)

High correlation Zeros

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.1768595

Minimum	0
Maximum	5
Zeros	260
Zeros (%)	10.7%
Negative	0
Negative (%)	0.0%
Memory size	37.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.5551464
Coefficient of variation (CV)	0.4895232
Kurtosis	-0.44792199
Mean	3.1768595
Median Absolute Deviation (MAD)	1
Skewness	-0.81330884
Sum	7688
Variance	2.4184804
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	925	38.2%
5	432	17.9%
3	398	16.4%
0	260	10.7%
2	229	9.5%
1	176	7.3%

Value	Count	Frequency (%)
0	260	10.7%
1	176	7.3%
2	229	9.5%
3	398	16.4%
4	925	38.2%
5	432	17.9%

Value	Count	Frequency (%)
5	432	17.9%
4	925	38.2%
3	398	16.4%
2	229	9.5%
1	176	7.3%
0	260	10.7%

provincia
Categorical

Distinct	27
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	175.3 KiB

CABA	1217
Buenos Aires	520
Córdoba	132
Santa Fe	107
Extranjera	103
Other values (22)	341

Length

Max length	19
Median length	4
Mean length	6.8987603
Min length	1

Characters and Unicode

Total characters	16695
Distinct characters	40
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Buenos Aires
2nd row	CABA
3rd row	CABA
4th row	CABA
5th row	Buenos Aires

Common Values

Value	Count	Frequency (%)
CABA	1217	50.3%
Buenos Aires	520	21.5%
Córdoba	132	5.5%
Santa Fe	107	4.4%
Extranjera	103	4.3%
Mendoza	47	1.9%
Chubut	33	1.4%
Misiones	28	1.2%
Entre Rios	23	1.0%
Rio Negro	21	0.9%
Other values (17)	189	7.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
caba	1217	38.2%
buenos	520	16.3%
aires	520	16.3%
córdoba	132	4.1%
santa	115	3.6%
fe	107	3.4%
extranjera	103	3.2%
mendoza	47	1.5%
chubut	33	1.0%
misiones	28	0.9%
Other values (27)	365	11.5%

Most occurring characters

Value	Count	Frequency (%)
A	2954	17.7%
B	1737	10.4%
e	1475	8.8%
C	1434	8.6%
s	1175	7.0%
r	998	6.0%
n	946	5.7%
o	888	5.3%
a	834	5.0%
	767	4.6%
Other values (30)	3487	20.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16695	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	2954	17.7%
B	1737	10.4%
e	1475	8.8%
C	1434	8.6%
s	1175	7.0%
r	998	6.0%
n	946	5.7%
o	888	5.3%
a	834	5.0%
	767	4.6%
Other values (30)	3487	20.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16695	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	2954	17.7%
B	1737	10.4%
e	1475	8.8%
C	1434	8.6%
s	1175	7.0%
r	998	6.0%
n	946	5.7%
o	888	5.3%
a	834	5.0%
	767	4.6%
Other values (30)	3487	20.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16695	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	2954	17.7%
B	1737	10.4%
e	1475	8.8%
C	1434	8.6%
s	1175	7.0%
r	998	6.0%
n	946	5.7%
o	888	5.3%
a	834	5.0%
	767	4.6%
Other values (30)	3487	20.9%

cant_socios
Real number (ℝ)

Missing

Distinct	20
Distinct (%)	0.8%
Missing	50
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	2.335865

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	31
Range	30
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8779397
Coefficient of variation (CV)	0.803959
Kurtosis	44.910037
Mean	2.335865
Median Absolute Deviation (MAD)	1
Skewness	4.9234925
Sum	5536
Variance	3.5266574
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
2	819	33.8%
1	806	33.3%
3	416	17.2%
4	164	6.8%
5	74	3.1%
6	30	1.2%
7	16	0.7%
8	11	0.5%
9	8	0.3%
10	7	0.3%
Other values (10)	19	0.8%
(Missing)	50	2.1%

Value	Count	Frequency (%)
1	806	33.3%
2	819	33.8%
3	416	17.2%
4	164	6.8%
5	74	3.1%
6	30	1.2%
7	16	0.7%
8	11	0.5%
9	8	0.3%
10	7	0.3%

Value	Count	Frequency (%)
31	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
17	3	0.1%
16	1	< 0.1%
15	1	< 0.1%
14	4	0.2%
13	1	< 0.1%
12	3	0.1%
11	3	0.1%

cant_apercibimientos
Unsupported

Missing Rejected Unsupported

Missing	2420
Missing (%)	100.0%
Memory size	37.8 KiB

cant_suspensiones
Unsupported

Missing Rejected Unsupported

Missing	2420
Missing (%)	100.0%
Memory size	37.8 KiB

cant_antecedentes
Categorical

Constant Missing

Distinct	1
Distinct (%)	100.0%
Missing	2419
Missing (%)	> 99.9%
Memory size	151.3 KiB

1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1	< 0.1%
(Missing)	2419	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

cant_Apoderado
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	0.8%
Missing	2043
Missing (%)	84.4%
Memory size	152.7 KiB

1.0	349
2.0	26
3.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1131
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	349	14.4%
2.0	26	1.1%
3.0	2	0.1%
(Missing)	2043	84.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	349	92.6%
2.0	26	6.9%
3.0	2	0.5%

Most occurring characters

Value	Count	Frequency (%)
.	377	33.3%
0	377	33.3%
1	349	30.9%
2	26	2.3%
3	2	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1131	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	377	33.3%
0	377	33.3%
1	349	30.9%
2	26	2.3%
3	2	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1131	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	377	33.3%
0	377	33.3%
1	349	30.9%
2	26	2.3%
3	2	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1131	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	377	33.3%
0	377	33.3%
1	349	30.9%
2	26	2.3%
3	2	0.2%

cant_representante
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	0.1%
Missing	357
Missing (%)	14.8%
Memory size	159.3 KiB

1.0	2056
2.0	6
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6189
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	2056	85.0%
2.0	6	0.2%
4.0	1	< 0.1%
(Missing)	357	14.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	2056	99.7%
2.0	6	0.3%
4.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	2063	33.3%
0	2063	33.3%
1	2056	33.2%
2	6	0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6189	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	2063	33.3%
0	2063	33.3%
1	2056	33.2%
2	6	0.1%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6189	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	2063	33.3%
0	2063	33.3%
1	2056	33.2%
2	6	0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6189	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	2063	33.3%
0	2063	33.3%
1	2056	33.2%
2	6	0.1%
4	1	< 0.1%

cant_autenticado
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	160.7 KiB

1.0	2390
2.0	29
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	7260
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	2390	98.8%
2.0	29	1.2%
3.0	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	2390	98.8%
2.0	29	1.2%
3.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	2420	33.3%
0	2420	33.3%
1	2390	32.9%
2	29	0.4%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7260	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	2420	33.3%
0	2420	33.3%
1	2390	32.9%
2	29	0.4%
3	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7260	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	2420	33.3%
0	2420	33.3%
1	2390	32.9%
2	29	0.4%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7260	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	2420	33.3%
0	2420	33.3%
1	2390	32.9%
2	29	0.4%
3	1	< 0.1%

cant_noAutenticado
Categorical

High correlation Missing

Distinct	3
Distinct (%)	13.0%
Missing	2397
Missing (%)	99.0%
Memory size	151.3 KiB

1.0	19
2.0	3
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	69
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	4.3%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	19	0.8%
2.0	3	0.1%
3.0	1	< 0.1%
(Missing)	2397	99.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	19	82.6%
2.0	3	13.0%
3.0	1	4.3%

Most occurring characters

Value	Count	Frequency (%)
.	23	33.3%
0	23	33.3%
1	19	27.5%
2	3	4.3%
3	1	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	69	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	23	33.3%
0	23	33.3%
1	19	27.5%
2	3	4.3%
3	1	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	69	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	23	33.3%
0	23	33.3%
1	19	27.5%
2	3	4.3%
3	1	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	69	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	23	33.3%
0	23	33.3%
1	19	27.5%
2	3	4.3%
3	1	1.4%

cant_sinMontoLimite
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	160.7 KiB

1.0	2369
2.0	46
3.0	4
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	7260
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	2369	97.9%
2.0	46	1.9%
3.0	4	0.2%
4.0	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	2369	97.9%
2.0	46	1.9%
3.0	4	0.2%
4.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	2420	33.3%
0	2420	33.3%
1	2369	32.6%
2	46	0.6%
3	4	0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7260	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	2420	33.3%
0	2420	33.3%
1	2369	32.6%
2	46	0.6%
3	4	0.1%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7260	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	2420	33.3%
0	2420	33.3%
1	2369	32.6%
2	46	0.6%
3	4	0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7260	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	2420	33.3%
0	2420	33.3%
1	2369	32.6%
2	46	0.6%
3	4	0.1%
4	1	< 0.1%

cant_MontoLimite
Categorical

Constant Missing

Distinct	1
Distinct (%)	50.0%
Missing	2418
Missing (%)	99.9%
Memory size	151.3 KiB

1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0

Common Values

Value	Count	Frequency (%)
1.0	2	0.1%
(Missing)	2418	99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	2	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	2	33.3%
.	2	33.3%
0	2	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	2	33.3%
.	2	33.3%
0	2	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	2	33.3%
.	2	33.3%
0	2	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	2	33.3%
.	2	33.3%
0	2	33.3%

total_articulos_provee
Real number (ℝ)

High correlation

Distinct	237
Distinct (%)	9.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.903306

Minimum	1
Maximum	831
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	8
Q3	34
95-th percentile	161
Maximum	831
Range	830
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	66.572024
Coefficient of variation (CV)	1.963585
Kurtosis	23.764017
Mean	33.903306
Median Absolute Deviation (MAD)	7
Skewness	4.0958506
Sum	82046
Variance	4431.8344
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	500	20.7%
2	198	8.2%
3	133	5.5%
4	112	4.6%
5	83	3.4%
6	76	3.1%
8	70	2.9%
7	54	2.2%
10	49	2.0%
12	41	1.7%
Other values (227)	1104	45.6%

Value	Count	Frequency (%)
1	500	20.7%
2	198	8.2%
3	133	5.5%
4	112	4.6%
5	83	3.4%
6	76	3.1%
7	54	2.2%
8	70	2.9%
9	36	1.5%
10	49	2.0%

Value	Count	Frequency (%)
831	1	< 0.1%
580	1	< 0.1%
560	1	< 0.1%
532	1	< 0.1%
525	1	< 0.1%
520	1	< 0.1%
514	1	< 0.1%
496	1	< 0.1%
445	1	< 0.1%
438	1	< 0.1%

dmonto_total_adjudicado
Categorical

Distinct	21
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	204.6 KiB

(222.964.579- 46.172.150.151]	163
(30.451.916- 46.718.747]	156
(19.975.532- 30.451.916]	152
(13.557.176- 19.975.532]	136
(89.439.449- 222.964.579]	130
Other values (16)	1683

Length

Max length	29
Median length	25
Mean length	21.595041
Min length	3

Characters and Unicode

Total characters	52260
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(4.727.330- 6.702.697]
2nd row	(4.727.330- 6.702.697]
3rd row	(222.964.579- 46.172.150.151]
4th row	(3.396.600- 4.727.330]
5th row	(19.975.532- 30.451.916]

Common Values

Value	Count	Frequency (%)
(222.964.579- 46.172.150.151]	163	6.7%
(30.451.916- 46.718.747]	156	6.4%
(19.975.532- 30.451.916]	152	6.3%
(13.557.176- 19.975.532]	136	5.6%
(89.439.449- 222.964.579]	130	5.4%
(-0- 33.011]	127	5.2%
(46.718.747- 89.439.449]	127	5.2%
(3.396.600- 4.727.330]	127	5.2%
(9.424.898- 13.557.176]	125	5.2%
(4.727.330- 6.702.697]	121	5.0%
Other values (11)	1056	43.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
30.451.916	308	6.4%
222.964.579	293	6.1%
19.975.532	288	6.0%
46.718.747	283	5.9%
13.557.176	261	5.4%
89.439.449	257	5.3%
4.727.330	248	5.1%
3.396.600	241	5.0%
9.424.898	238	4.9%
6.702.697	234	4.8%
Other values (12)	2179	45.1%

Most occurring characters

Value	Count	Frequency (%)
.	8310	15.9%
7	4903	9.4%
9	4439	8.5%
3	3776	7.2%
4	3444	6.6%
1	3414	6.5%
6	3084	5.9%
2	3082	5.9%
0	3034	5.8%
5	2883	5.5%
Other values (7)	11891	22.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	52260	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	8310	15.9%
7	4903	9.4%
9	4439	8.5%
3	3776	7.2%
4	3444	6.6%
1	3414	6.5%
6	3084	5.9%
2	3082	5.9%
0	3034	5.8%
5	2883	5.5%
Other values (7)	11891	22.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	52260	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	8310	15.9%
7	4903	9.4%
9	4439	8.5%
3	3776	7.2%
4	3444	6.6%
1	3414	6.5%
6	3084	5.9%
2	3082	5.9%
0	3034	5.8%
5	2883	5.5%
Other values (7)	11891	22.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	52260	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	8310	15.9%
7	4903	9.4%
9	4439	8.5%
3	3776	7.2%
4	3444	6.6%
1	3414	6.5%
6	3084	5.9%
2	3082	5.9%
0	3034	5.8%
5	2883	5.5%
Other values (7)	11891	22.8%

dcant_procesos_adjudicado
Categorical

Distinct	10
Distinct (%)	0.4%
Missing	10
Missing (%)	0.4%
Memory size	180.5 KiB

(0.999, 2.0]	1302
(2.0, 3.0]	228
(3.0, 4.0]	153
(8.0, 12.0]	147
(19.0, 39.0]	124
Other values (5)	456

Length

Max length	14
Median length	12
Mean length	11.445228
Min length	10

Characters and Unicode

Total characters	27583
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(0.999, 2.0]
2nd row	(6.0, 8.0]
3rd row	(19.0, 39.0]
4th row	(4.0, 5.0]
5th row	(5.0, 6.0]

Common Values

Value	Count	Frequency (%)
(0.999, 2.0]	1302	53.8%
(2.0, 3.0]	228	9.4%
(3.0, 4.0]	153	6.3%
(8.0, 12.0]	147	6.1%
(19.0, 39.0]	124	5.1%
(12.0, 19.0]	118	4.9%
(6.0, 8.0]	94	3.9%
(4.0, 5.0]	94	3.9%
(5.0, 6.0]	88	3.6%
(39.0, 1214.0]	62	2.6%
(Missing)	10	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	1530	31.7%
0.999	1302	27.0%
3.0	381	7.9%
12.0	265	5.5%
4.0	247	5.1%
19.0	242	5.0%
8.0	241	5.0%
39.0	186	3.9%
6.0	182	3.8%
5.0	182	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	4820	17.5%
.	4820	17.5%
9	4334	15.7%
(	2410	8.7%
,	2410	8.7%
	2410	8.7%
]	2410	8.7%
2	1857	6.7%
1	631	2.3%
3	567	2.1%
Other values (4)	914	3.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	27583	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	4820	17.5%
.	4820	17.5%
9	4334	15.7%
(	2410	8.7%
,	2410	8.7%
	2410	8.7%
]	2410	8.7%
2	1857	6.7%
1	631	2.3%
3	567	2.1%
Other values (4)	914	3.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	27583	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	4820	17.5%
.	4820	17.5%
9	4334	15.7%
(	2410	8.7%
,	2410	8.7%
	2410	8.7%
]	2410	8.7%
2	1857	6.7%
1	631	2.3%
3	567	2.1%
Other values (4)	914	3.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	27583	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	4820	17.5%
.	4820	17.5%
9	4334	15.7%
(	2410	8.7%
,	2410	8.7%
	2410	8.7%
]	2410	8.7%
2	1857	6.7%
1	631	2.3%
3	567	2.1%
Other values (4)	914	3.3%

dtotal_articulos_provee
Categorical

High correlation

Distinct	15
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	181.2 KiB

(0.999, 2.0]	698
(4.0, 6.0]	159
(15.0, 21.0]	155
(40.0, 58.0]	151
(58.0, 97.6]	141
Other values (10)	1116

Length

Max length	15
Median length	12
Mean length	11.666529
Min length	10

Characters and Unicode

Total characters	28233
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(29.0, 40.0]
2nd row	(21.0, 29.0]
3rd row	(40.0, 58.0]
4th row	(40.0, 58.0]
5th row	(0.999, 2.0]

Common Values

Value	Count	Frequency (%)
(0.999, 2.0]	698	28.8%
(4.0, 6.0]	159	6.6%
(15.0, 21.0]	155	6.4%
(40.0, 58.0]	151	6.2%
(58.0, 97.6]	141	5.8%
(2.0, 3.0]	133	5.5%
(29.0, 40.0]	133	5.5%
(21.0, 29.0]	132	5.5%
(11.0, 15.0]	129	5.3%
(6.0, 8.0]	124	5.1%
Other values (5)	465	19.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2.0	831	17.2%
0.999	698	14.4%
58.0	292	6.0%
21.0	287	5.9%
15.0	284	5.9%
40.0	284	5.9%
6.0	283	5.8%
4.0	271	5.6%
29.0	265	5.5%
97.6	255	5.3%
Other values (6)	1090	22.5%

Most occurring characters

Value	Count	Frequency (%)
0	4869	17.2%
.	4840	17.1%
9	2654	9.4%
(	2420	8.6%
,	2420	8.6%
	2420	8.6%
]	2420	8.6%
1	1495	5.3%
2	1383	4.9%
6	770	2.7%
Other values (5)	2542	9.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	28233	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	4869	17.2%
.	4840	17.1%
9	2654	9.4%
(	2420	8.6%
,	2420	8.6%
	2420	8.6%
]	2420	8.6%
1	1495	5.3%
2	1383	4.9%
6	770	2.7%
Other values (5)	2542	9.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	28233	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	4869	17.2%
.	4840	17.1%
9	2654	9.4%
(	2420	8.6%
,	2420	8.6%
	2420	8.6%
]	2420	8.6%
1	1495	5.3%
2	1383	4.9%
6	770	2.7%
Other values (5)	2542	9.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	28233	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	4869	17.2%
.	4840	17.1%
9	2654	9.4%
(	2420	8.6%
,	2420	8.6%
	2420	8.6%
]	2420	8.6%
1	1495	5.3%
2	1383	4.9%
6	770	2.7%
Other values (5)	2542	9.0%

Cluster_6
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.0 KiB

5	2420

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2420
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	5
3rd row	5
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
5	2420	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	2420	100.0%

Most occurring characters

Value	Count	Frequency (%)
5	2420	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2420	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	2420	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2420	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	2420	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2420	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	2420	100.0%

Interactions

Correlations

	Estado	TipoSocietario	anio_preinscripcion	antiguedad	cant_Apoderado	cant_autenticado	cant_noAutenticado	cant_procesos_adjudicado	cant_representante	cant_sinMontoLimite	cant_socios	dcant_procesos_adjudicado	dmonto_total_adjudicado	dtotal_articulos_provee	monto_total_adjudicado	periodo_preinscripcion	provincia	total_articulos_provee
Estado	1.000	0.298	0.146	0.159	0.000	0.000	1.000	0.026	0.031	0.000	0.000	0.112	0.145	0.118	0.000	0.145	0.277	0.040
TipoSocietario	0.298	1.000	0.164	0.175	0.263	0.104	0.542	0.048	0.221	0.191	0.099	0.060	0.171	0.082	0.108	0.159	0.373	0.012
anio_preinscripcion	0.146	0.164	1.000	-1.000	0.000	0.000	0.000	-0.333	0.000	0.024	-0.166	0.142	0.101	0.070	-0.218	0.966	0.152	-0.084
antiguedad	0.159	0.175	-1.000	1.000	0.048	0.015	0.000	0.332	0.000	0.032	0.167	0.158	0.109	0.080	0.217	-0.966	0.153	0.084
cant_Apoderado	0.000	0.263	0.000	0.048	1.000	0.673	0.548	0.380	1.000	0.695	0.320	0.274	0.000	0.045	0.278	0.000	0.000	0.183
cant_autenticado	0.000	0.104	0.000	0.015	0.673	1.000	1.000	0.196	0.468	0.661	0.272	0.114	0.181	0.000	0.381	0.000	0.000	0.129
cant_noAutenticado	1.000	0.542	0.000	0.000	0.548	1.000	1.000	0.000	0.658	0.975	0.000	0.000	0.000	0.000	0.204	0.000	0.000	0.000
cant_procesos_adjudicado	0.026	0.048	-0.333	0.332	0.380	0.196	0.000	1.000	0.000	0.160	0.042	0.432	0.136	0.086	0.541	-0.348	0.000	0.287
cant_representante	0.031	0.221	0.000	0.000	1.000	0.468	0.658	0.000	1.000	0.789	0.434	0.000	0.054	0.029	0.534	0.000	0.000	0.000
cant_sinMontoLimite	0.000	0.191	0.024	0.032	0.695	0.661	0.975	0.160	0.789	1.000	0.397	0.097	0.180	0.000	0.534	0.014	0.000	0.073
cant_socios	0.000	0.099	-0.166	0.167	0.320	0.272	0.000	0.042	0.434	0.397	1.000	0.035	0.000	0.000	0.117	-0.165	0.000	-0.025
dcant_procesos_adjudicado	0.112	0.060	0.142	0.158	0.274	0.114	0.000	0.432	0.000	0.097	0.035	1.000	0.203	0.099	0.124	0.130	0.012	0.071
dmonto_total_adjudicado	0.145	0.171	0.101	0.109	0.000	0.181	0.000	0.136	0.054	0.180	0.000	0.203	1.000	0.041	0.212	0.093	0.111	0.036
dtotal_articulos_provee	0.118	0.082	0.070	0.080	0.045	0.000	0.000	0.086	0.029	0.000	0.000	0.099	0.041	1.000	0.027	0.067	0.037	0.599
monto_total_adjudicado	0.000	0.108	-0.218	0.217	0.278	0.381	0.204	0.541	0.534	0.534	0.117	0.124	0.212	0.027	1.000	-0.229	0.000	0.108
periodo_preinscripcion	0.145	0.159	0.966	-0.966	0.000	0.000	0.000	-0.348	0.000	0.014	-0.165	0.130	0.093	0.067	-0.229	1.000	0.139	-0.107
provincia	0.277	0.373	0.152	0.153	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.012	0.111	0.037	0.000	0.139	1.000	0.000
total_articulos_provee	0.040	0.012	-0.084	0.084	0.183	0.129	0.000	0.287	0.000	0.073	-0.025	0.071	0.036	0.599	0.108	-0.107	0.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	CUIT	Nombre	FechaPreinscripcion	Estado	TipoSocietario	periodo_preinscripcion	anio_preinscripcion	cant_procesos_adjudicado	monto_total_adjudicado	antiguedad	provincia	cant_socios	cant_apercibimientos	cant_suspensiones	cant_antecedentes	cant_Apoderado	cant_representante	cant_autenticado	cant_noAutenticado	cant_sinMontoLimite	cant_MontoLimite	total_articulos_provee	dmonto_total_adjudicado	dcant_procesos_adjudicado	dtotal_articulos_provee	Cluster_6
4	33712286089	COMPAÑÍA DE HIGIENE	26/10/2016	Inscripto	S.R.L	201610	2016	1.0	5.434774e+06	5.0	Buenos Aires	2.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	38.0	(4.727.330- 6.702.697]	(0.999, 2.0]	(29.0, 40.0]	5
5	30583184305	MATAFUEGOS ORLANDO S.R.L.	02/11/2016	Desactualizado doc. vencidos	S.R.L	201611	2016	7.0	5.655964e+06	5.0	CABA	3.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	22.0	(4.727.330- 6.702.697]	(6.0, 8.0]	(21.0, 29.0]	5
7	30521417311	CONFECCIONES JOSE CONTARTESE Y CIA S.R.L.	12/09/2016	Inscripto	S.R.L	201609	2016	37.0	1.823406e+09	5.0	CABA	2.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	50.0	(222.964.579- 46.172.150.151]	(19.0, 39.0]	(40.0, 58.0]	5
10	30644877805	LA BLUSERI S.A.	12/09/2016	Inscripto	Sociedad Anónima	201609	2016	5.0	4.224898e+06	5.0	CABA	3.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	51.0	(3.396.600- 4.727.330]	(4.0, 5.0]	(40.0, 58.0]	5
12	30708516852	COOPERATIVA DE TRABAJO ARCANGEL LIMITADA	19/10/2016	Inscripto	Cooperativas	201610	2016	6.0	2.781002e+07	5.0	Buenos Aires	4.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	2.0	(19.975.532- 30.451.916]	(5.0, 6.0]	(0.999, 2.0]	5
18	30714005789	SIMA POWER SYSTEMS SRL	16/08/2016	Desactualizado Por Clase	S.R.L	201608	2016	1.0	9.405250e+05	5.0	CABA	1.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	8.0	(890.758- 1.302.657]	(0.999, 2.0]	(6.0, 8.0]	5
27	30714749206	Ebox S.A.	29/09/2016	Inscripto	Sociedad Anónima	201609	2016	22.0	1.224767e+08	5.0	CABA	2.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	124.0	(89.439.449- 222.964.579]	(19.0, 39.0]	(97.6, 161.0]	5
33	30708085207	TNGROUP S.A.	16/09/2016	Inscripto	Sociedad Anónima	201609	2016	39.0	2.372857e+09	5.0	CABA	3.0	NaN	NaN	NaN	1.0	1.0	2.0	NaN	2.0	NaN	33.0	(222.964.579- 46.172.150.151]	(19.0, 39.0]	(29.0, 40.0]	5
40	30555414222	Los Cinco Hispanos Sociedad Anónima	30/09/2016	Inscripto	Sociedad Anónima	201609	2016	27.0	1.879371e+07	5.0	CABA	1.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	12.0	(13.557.176- 19.975.532]	(19.0, 39.0]	(11.0, 15.0]	5
41	30711265356	LIMEL S.A.	30/09/2016	Inscripto	Sociedad Anónima	201609	2016	9.0	2.020892e+06	5.0	CABA	1.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	11.0	(1.793.326- 2.483.085]	(8.0, 12.0]	(8.0, 11.0]	5

	CUIT	Nombre	FechaPreinscripcion	Estado	TipoSocietario	periodo_preinscripcion	anio_preinscripcion	cant_procesos_adjudicado	monto_total_adjudicado	antiguedad	provincia	cant_socios	cant_apercibimientos	cant_suspensiones	cant_antecedentes	cant_Apoderado	cant_representante	cant_autenticado	cant_noAutenticado	cant_sinMontoLimite	cant_MontoLimite	total_articulos_provee	dmonto_total_adjudicado	dcant_procesos_adjudicado	dtotal_articulos_provee	Cluster_6
10025	30708009195	PASTELINO SA	28/04/2022	Inscripto	Sociedad Anónima	202204	2022	1.0	3.673343e+06	0.0	Córdoba	1.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	1.0	(3.396.600- 4.727.330]	(0.999, 2.0]	(0.999, 2.0]	5
10029	30646700279	RM RECTIFICACIONES S.A.	31/08/2018	Inscripto	Sociedad Anónima	201808	2018	1.0	1.269392e+06	3.0	Corrientes	1.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	16.0	(890.758- 1.302.657]	(0.999, 2.0]	(15.0, 21.0]	5
10032	30717686043	LOZZA SAS	22/08/2022	Inscripto	Otras Formas Societarias	202208	2022	1.0	5.747619e+06	0.0	Entre Rios	1.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	40.0	(4.727.330- 6.702.697]	(0.999, 2.0]	(29.0, 40.0]	5
10035	30711231214	Encendido Bari SRL	19/04/2018	Inscripto	S.R.L	201804	2018	1.0	1.179683e+06	3.0	CABA	2.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	69.0	(890.758- 1.302.657]	(0.999, 2.0]	(58.0, 97.6]	5
10048	30714288551	AGUAS ROMANO SRL	01/12/2016	Inscripto	S.R.L	201612	2016	1.0	4.215306e+05	5.0	Entre Rios	2.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	1.0	(377.939- 599.760]	(0.999, 2.0]	(0.999, 2.0]	5
10060	30561699867	Melos Ediciones Musicales S.A.	06/09/2017	Inscripto	Sociedad Anónima	201709	2017	1.0	1.133333e+06	4.0	CABA	3.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	4.0	(890.758- 1.302.657]	(0.999, 2.0]	(3.0, 4.0]	5
10061	33711043069	VIA CARGO S.A.	21/06/2019	Inscripto	Sociedad Anónima	201906	2019	1.0	2.961003e+05	2.0	Chubut	1.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	3.0	(224.078- 377.939]	(0.999, 2.0]	(2.0, 3.0]	5
10064	30683655143	SERVEC S.A.	29/11/2021	Inscripto	Sociedad Anónima	202111	2021	1.0	5.169498e+06	0.0	CABA	2.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	3.0	(4.727.330- 6.702.697]	(0.999, 2.0]	(2.0, 3.0]	5
10066	30716032503	BIOPAZ S.A.	11/06/2021	Inscripto	Sociedad Anónima	202106	2021	1.0	7.886492e+04	0.0	Corrientes	2.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	3.0	(33.011- 104.767]	(0.999, 2.0]	(2.0, 3.0]	5
10070	30710308051	ZENSEI SRL	30/05/2017	Inscripto	Sociedad Anónima	201705	2017	1.0	5.901429e+07	4.0	CABA	1.0	NaN	NaN	NaN	NaN	1.0	1.0	NaN	1.0	NaN	1.0	(46.718.747- 89.439.449]	(0.999, 2.0]	(0.999, 2.0]	5

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)